PINNpapers
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idrl-lab
Must-read Papers on Physics-Informed Neural Networks.
Hi, I publish a paper about the PINN application for Li ion battery temp prediction. Would you put my paper on your list? G. Cho, M. Wang, Y. Kim, J....
Great job! I wish that I had seen this earlier. I would like to recommend 1. [When and why PINNs fail to train: A neural tangent kernel perspective](https://arxiv.org/abs/2007.14527) 2. [On...
Hello👋🏻 Great job in putting a lot of PINN literature just in one place! I saw you have a software section, and I suggest you look at [PINA](https://github.com/mathLab/PINA) if you...
Connection between difficulty of training, approximation theory and a solution Talk at CRUNCH https://youtu.be/1NwHyAGSJyE?t=3570
The changes are as follows. 1. Add a new paper called "Noise-aware physics-informed machine learning for robust PDE discovery", which demostates an application of a noise-tolerant PINN-based framework on PDE...
